Index A | B | C | D | E | F | G | H | I | L | M | N | O | P | R | S | T | U | V A abs() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] adjoint_solve() (in module torch_sla), [1] auto_select_method() (in module torch_sla) B backward() (torch_sla.NonlinearSolveAdjoint static method) batch_shape (torch_sla.SparseTensor attribute), [1] (torch_sla.SparseTensor property), [1] batch_size (torch_sla.SparseTensor property), [1] block_shape (torch_sla.SparseTensor attribute), [1] (torch_sla.SparseTensor property), [1] block_sizes (torch_sla.SparseTensorList property), [1] C ceil() (torch_sla.SparseTensor method), [1] clamp() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] clone() (torch_sla.SparseTensor method), [1] col_indices (torch_sla.SparseTensor attribute), [1] condition_number() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] connected_components() (torch_sla.SparseTensor method), [1] contiguous() (torch_sla.SparseTensor method), [1] cos() (torch_sla.SparseTensor method), [1] cosh() (torch_sla.SparseTensor method), [1] cpu() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] cuda() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] D det() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] detach() (torch_sla.SparseTensor method), [1] device (torch_sla.DSparseMatrix attribute), [1] (torch_sla.DSparseTensor property), [1] (torch_sla.SparseTensor property), [1] (torch_sla.SparseTensorList attribute), [1] (torch_sla.SparseTensorList property), [1] double() (torch_sla.SparseTensor method), [1] DSparseMatrix (class in torch_sla), [1] DSparseTensor (class in torch_sla), [1] dtype (torch_sla.DSparseMatrix property), [1] (torch_sla.DSparseTensor property), [1] (torch_sla.SparseTensor property), [1] (torch_sla.SparseTensorList attribute), [1] (torch_sla.SparseTensorList property), [1] E eigs() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] eigsh() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] estimate_direct_solver_memory() (in module torch_sla) exp() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] F flatten_blocks() (torch_sla.SparseTensor method), [1] float() (torch_sla.SparseTensor method), [1] floor() (torch_sla.SparseTensor method), [1] forward() (torch_sla.NonlinearSolveAdjoint static method) from_block_diagonal() (torch_sla.SparseTensorList class method), [1] from_coo_list() (torch_sla.SparseTensorList class method), [1] from_dense() (torch_sla.SparseTensor class method), [1] from_device_mesh() (torch_sla.DSparseTensor class method), [1] from_global() (torch_sla.DSparseMatrix class method), [1] from_global_distributed() (torch_sla.DSparseTensor class method), [1] from_list() (torch_sla.DSparseTensor class method), [1] from_sparse_tensor() (torch_sla.DSparseTensor class method), [1] from_torch_sparse() (torch_sla.DSparseTensor class method), [1] (torch_sla.SparseTensor class method), [1] from_torch_sparse_list() (torch_sla.SparseTensorList class method), [1] G gather() (torch_sla.DSparseTensor method), [1] gather_from_dtensor() (torch_sla.DSparseTensor method), [1] gather_global() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] get_available_backends() (in module torch_sla), [1] get_available_gpu_memory() (in module torch_sla) get_backend_methods() (in module torch_sla), [1] get_default_method() (in module torch_sla) global_shape (torch_sla.DSparseMatrix attribute), [1] global_to_local (torch_sla.Partition attribute) grad (torch_sla.SparseTensor property), [1] H half() (torch_sla.SparseTensor method), [1] halo_exchange() (torch_sla.DSparseMatrix method), [1] halo_exchange_async() (torch_sla.DSparseMatrix method), [1] halo_exchange_local() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] halo_nodes (torch_sla.Partition attribute) has_isolated_components() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] I is_batched (torch_sla.SparseTensor property), [1] is_block (torch_sla.SparseTensor property), [1] is_cuda (torch_sla.DSparseMatrix property), [1] (torch_sla.DSparseTensor property), [1] (torch_sla.SparseTensor property), [1] is_cudss_available() (in module torch_sla) is_cusolver_available() (in module torch_sla) is_eigen_available() (in module torch_sla) is_positive_definite() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] is_scipy_available() (in module torch_sla) is_square (torch_sla.SparseTensor property), [1] is_symmetric() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] isfinite() (torch_sla.SparseTensor method), [1] isinf() (torch_sla.SparseTensor method), [1] isnan() (torch_sla.SparseTensor method), [1] L load() (torch_sla.DSparseMatrix class method), [1] (torch_sla.DSparseTensor class method), [1] (torch_sla.SparseTensor class method), [1] load_distributed_as_sparse() (in module torch_sla) load_dsparse() (in module torch_sla) load_metadata() (in module torch_sla) load_mtx() (in module torch_sla), [1] load_mtx_info() (in module torch_sla) load_partition() (in module torch_sla), [1] load_sparse() (in module torch_sla), [1] load_sparse_as_partition() (in module torch_sla) local_col (torch_sla.DSparseMatrix attribute), [1] local_nodes (torch_sla.Partition attribute) local_row (torch_sla.DSparseMatrix attribute), [1] local_shape (torch_sla.DSparseMatrix attribute), [1] local_to_global (torch_sla.Partition attribute) local_values (torch_sla.DSparseMatrix attribute), [1] log() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] log10() (torch_sla.SparseTensor method), [1] log2() (torch_sla.SparseTensor method), [1] logical_and() (torch_sla.SparseTensor method), [1] logical_not() (torch_sla.SparseTensor method), [1] logical_or() (torch_sla.SparseTensor method), [1] logical_xor() (torch_sla.SparseTensor method), [1] lu() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] LUFactorization (class in torch_sla), [1] M matvec() (torch_sla.DSparseMatrix method), [1] matvec_all() (torch_sla.DSparseTensor method), [1] matvec_overlap() (torch_sla.DSparseMatrix method), [1] max() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] mean() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] min() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] N ndim (torch_sla.SparseTensor property), [1] neighbor_partitions (torch_sla.Partition attribute) nnz (torch_sla.DSparseMatrix property), [1] (torch_sla.DSparseTensor property), [1] (torch_sla.SparseTensor property), [1] nonlinear_solve() (in module torch_sla), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] NonlinearSolveAdjoint (class in torch_sla) norm() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] num_halo (torch_sla.DSparseMatrix property), [1] num_local (torch_sla.DSparseMatrix property), [1] num_owned (torch_sla.DSparseMatrix property), [1] num_partitions (torch_sla.DSparseTensor property), [1] O owned_nodes (torch_sla.Partition attribute) P ParallelBatchSolver (class in torch_sla) Partition (class in torch_sla) partition (torch_sla.DSparseMatrix attribute), [1] partition() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] partition_coordinates() (in module torch_sla) partition_for_rank() (torch_sla.SparseTensor method), [1] partition_graph_metis() (in module torch_sla) partition_id (torch_sla.Partition attribute) partition_ids (torch_sla.DSparseTensor property), [1] partition_simple() (in module torch_sla) pow() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] prod() (torch_sla.SparseTensor method), [1] R reciprocal() (torch_sla.SparseTensor method), [1] recv_indices (torch_sla.Partition attribute) relu() (torch_sla.SparseTensor method), [1] requires_grad (torch_sla.SparseTensor property), [1] requires_grad_() (torch_sla.SparseTensor method), [1] round() (torch_sla.SparseTensor method), [1] row_indices (torch_sla.SparseTensor attribute), [1] S save() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] save_distributed() (in module torch_sla), [1] (torch_sla.SparseTensor method), [1] save_dsparse() (in module torch_sla) save_mtx() (in module torch_sla), [1] save_sparse() (in module torch_sla), [1] scatter_local() (torch_sla.DSparseTensor method), [1] scatter_to_dtensor() (torch_sla.DSparseTensor method), [1] select_backend() (in module torch_sla), [1] select_method() (in module torch_sla), [1] send_indices (torch_sla.Partition attribute) shape (torch_sla.DSparseTensor property), [1] (torch_sla.SparseTensor attribute), [1] (torch_sla.SparseTensor property), [1] shapes (torch_sla.SparseTensorList attribute), [1] (torch_sla.SparseTensorList property), [1] sigmoid() (torch_sla.SparseTensor method), [1] sign() (torch_sla.SparseTensor method), [1] sin() (torch_sla.SparseTensor method), [1] sinh() (torch_sla.SparseTensor method), [1] solve() (torch_sla.DSparseMatrix method), [1] (torch_sla.LUFactorization method), [1] (torch_sla.ParallelBatchSolver method) (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] solve_all() (torch_sla.DSparseTensor method), [1] solve_batch() (torch_sla.SparseTensor method), [1] solve_distributed() (torch_sla.DSparseTensor method), [1] sparse_dim (torch_sla.SparseTensor property), [1] sparse_shape (torch_sla.SparseTensor attribute), [1] (torch_sla.SparseTensor property), [1] SparseTensor (class in torch_sla), [1] SparseTensorList (class in torch_sla), [1] spsolve() (in module torch_sla), [1] spsolve_batch_different_layout() (in module torch_sla), [1] spsolve_batch_same_layout() (in module torch_sla), [1] spsolve_coo() (in module torch_sla), [1] spsolve_csr() (in module torch_sla), [1] spy() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] sqrt() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] square() (torch_sla.SparseTensor method), [1] sum() (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] supports_dtensor (torch_sla.DSparseTensor property), [1] svd() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] T T() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] tan() (torch_sla.SparseTensor method), [1] tanh() (torch_sla.SparseTensor method), [1] to() (torch_sla.DSparseMatrix method), [1] (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] (torch_sla.SparseTensorList method), [1] to_block_diagonal() (torch_sla.SparseTensorList method), [1] to_connected_components() (torch_sla.SparseTensor method), [1] to_csr() (torch_sla.SparseTensor method), [1] to_dense() (torch_sla.DSparseTensor method), [1] (torch_sla.SparseTensor method), [1] to_dtensor() (torch_sla.DSparseTensor method), [1] to_list() (torch_sla.DSparseTensor method), [1] to_sparse_tensor() (torch_sla.DSparseTensor method), [1] to_torch_sparse() (torch_sla.SparseTensor method), [1] total_nnz (torch_sla.SparseTensorList property), [1] total_shape (torch_sla.SparseTensorList property), [1] U unflatten_blocks() (torch_sla.SparseTensor method), [1] V values (torch_sla.SparseTensor attribute), [1]